Wind Energy is one of the most important sources of renewable energy. There is a need to develop the availability of wind energy in the field where there is no measured wind velocity information. For this type of situation, it seems to be necessary to predict the wind energy potential using such as wind speed using artificial neural network (ANN) method. Soft computing techniques are widely used now days in the study of wind energy potential estimation. In this work, the wind energy potential between neighborhood meteorological tower stations was predicted using Artificial Neural Network technique. One of the most suitable regions of Tamil Nadu for wind power generation was located in the districts of Tirunelveli, Thoothukudi, Kanyakumari, Theni, Coimbatore, and Dindigul. Along the southeast coastline of Tamil Nadu, there are no valleys and mountains besides the mountains are situated away from the sea coast in many regions. Therefore, these regions are exposed to northerly winds that are not as strong as the southerly winds.
CITATION STYLE
Maran, P. S., Ponnusamy, R., Venkatesan, R., & Singh, A. B. (2014). Wind energy location prediction between meteorological stations using ANN. Global Nest Journal, 16(6), 1135–1144. https://doi.org/10.30955/gnj.001462
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